Boolean-Based Blind SQL Injection in Authentication Parameter

Collectric CMU 1.0 contains a boolean-based blind SQL injection vulnerability in the lang parameter that allows unauthenticated attackers to manipulate database queries during authentication. Attackers can inject SQL code through the lang parameter in login requests to extract sensitive information from the database using time-based blind techniques.

Casky was already ahead

This CVE exploits attack patterns that Casky's 301matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

Collectric CMU 1.0 contains a critical boolean-based blind SQL injection vulnerability in the lang parameter that allows unauthenticated attackers to bypass authentication and extract sensitive database information. This vulnerability is particularly dangerous because it requires no prior access—attackers can exploit it directly at the login endpoint by manipulating the lang parameter with crafted SQL payloads. Organizations using Collectric CMU 1.0 face immediate risk of credential compromise, unauthorized access, and full database exfiltration, as attackers can methodically extract data bit-by-bit using time-based blind techniques without triggering obvious errors.

Casky's 301 matched skills leverage Claude's extended reasoning to detect the attack patterns mapped to TA0001 (Reconnaissance) and TA0043 (Reconnaissance) by analyzing SQL injection indicators across multiple dimensions. Practitioners using Casky would identify suspicious patterns such as: unusual boolean logic in authentication requests, timing anomalies in login responses that correlate with injected delay payloads, abnormal database query patterns during failed authentication attempts, and parameter manipulation attempts targeting the lang field. Claude's reasoning capabilities enable detection of the subtle behavioral signatures of blind SQL injection—distinguishing legitimate internationalization requests from malicious payload variations—allowing security teams to spot exploitation attempts before sensitive data is compromised.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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301 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2018-25379.

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threat intelligence · low

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MITRE ATT&CK Techniques

TA0001 TA0043

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